Willis, K;
Shakespeare, R;
Chandrasekaran, L;
Chaudhry, U;
Wahlich, C;
Chambers, R;
Bolter, L;
Anderson, J;
Olvera‐Barrios, A;
Fajtl, J;
et al.
Willis, K; Shakespeare, R; Chandrasekaran, L; Chaudhry, U; Wahlich, C; Chambers, R; Bolter, L; Anderson, J; Olvera‐Barrios, A; Fajtl, J; Welikala, R; Barman, S; Mann, S; Scanlon, P; Habib, MS; Egan, CA; Tufail, A; Owen, CG; Rudnicka, AR
(2025)
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of
<scp>AI</scp>
‐assisted screening for diabetic eye disease?
Diabetic Medicine, 43 (1).
e70165.
ISSN 0742-3071
https://doi.org/10.1111/dme.70165
SGUL Authors: Chaudhry, Umar Ahmed Riaz Wahlich, Charlotte Amy Owen, Christopher Grant Rudnicka, Alicja Regina
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Abstract
Aims To explore attitudes of people living with diabetes (PLD) and healthcare professionals (HCP) towards the use of automated retinal image analysis systems using artificial intelligence (AI) in NHS Diabetic Eye Screening Programmes (DESP) and how these perceptions vary by sociodemographic subgroups. Methods Two anonymous online surveys (28 questions for PLD and 21 for HCP) were developed to assess attitudes towards AI. Data were collected from four English DESPs, diabetes charities and patient groups between September and December 2023. Likert‐scale responses were analysed using regression to examine subgroup differences. Results A total of 1577 PLD and 262 HCP participated. Fifty‐eight per cent of PLD believed AI would perform equally well in all subgroups, compared with 32% of HCP. Seventy‐one per cent of HCP disagreed that AI could replace human grading, and 81% of PLD felt humans should remain responsible for screening outcomes. Both groups supported AI's efficiency but had concerns about data security, trust, job security and who would be responsible for AI errors. Linear regression of Likert scores showed women were less accepting of AI; PLD of Black and Asian ethnicities were more cautious of data security and impact on screening experience. HCP of Asian ethnicity generally held more negative views across themes. Those using more online applications had more positive views towards AI. Conclusions While both PLD and HCP recognise AI's potential benefits, concerns regarding security, job impact and errors highlight the need for targeted outreach based on sociodemographic factors.
| Item Type: | Article | |||||||||||||||||||||
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| Additional Information: | © 2025 The Author(s). Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | |||||||||||||||||||||
| Keywords: | artificial intelligence, diabetes, screening, survey, technology, Humans, Female, Diabetic Retinopathy, Male, Mass Screening, Artificial Intelligence, Middle Aged, Adult, Attitude of Health Personnel, Health Personnel, Surveys and Questionnaires, State Medicine, Aged, United Kingdom, Diabetes Mellitus | |||||||||||||||||||||
| SGUL Research Institute / Research Centre: | Academic Structure > Population Health Research Institute (INPH) | |||||||||||||||||||||
| Journal or Publication Title: | Diabetic Medicine | |||||||||||||||||||||
| ISSN: | 0742-3071 | |||||||||||||||||||||
| Media of Output: | Print-Electronic | |||||||||||||||||||||
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| Publisher License: | Creative Commons: Attribution 4.0 | |||||||||||||||||||||
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| URI: | https://openaccess.sgul.ac.uk/id/eprint/118277 | |||||||||||||||||||||
| Publisher's version: | https://doi.org/10.1111/dme.70165 |
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